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| Titel |
Technical note: a new method for the Lagrangian tracking of pollution plumes from source to receptor using gridded model output |
| VerfasserIn |
R. C. Owen, R. E. Honrath |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1680-7316
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| Digitales Dokument |
URL |
| Erschienen |
In: Atmospheric Chemistry and Physics ; 9, no. 7 ; Nr. 9, no. 7 (2009-04-08), S.2577-2595 |
| Datensatznummer |
250007170
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| Publikation (Nr.) |
 copernicus.org/acp-9-2577-2009.pdf |
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| Zusammenfassung |
| Lagrangian particle dispersion models (LPDMs) are powerful and popular tools
used for the analysis of atmospheric trace gas measurements. However, it can
be difficult to determine the transport pathway of emissions from their
source to a receptor using the standard gridded model output, particularly
during complex meteorological scenarios. In this paper we present a method to
clearly and easily identify the pathway taken by only those emissions that
arrive at a receptor at a particular time, by combining the standard gridded
output from forward (e.g., concentration) and backward (e.g., residence
time) LPDM simulations. By comparing the pathway determined from this method
with particle trajectories from both the forward and backward models, we
show that this method successfully restores much of the Lagrangian
information that is lost when the data are gridded. A sample analysis is
presented, demonstrating that the source-to-receptor pathway
determined from this method is more accurate and easier to use than
existing methods using standard LPDM products (gridded fields of,
e.g., concentrations and residence time). As demonstrated in an
evaluation and an example application, the method requires agreement
between the transport described by the forward and backward simulations
and thus provides a means to assess the quality and reversibility of
the simulation. Finally, we discuss the potential for combining the
backward LPDM simulation with gridded data from other sources (e.g.,
chemical transport models) to obtain a Lagrangian sampling of the air
that will eventually arrive at a receptor. Based on the advantages
presented here, this new method can complement or even replace many of
the standard uses of backward LPDM simulations. |
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